The proteolysis-inducing factor: in search of its clinical relevance in patients with metastatic gastric/esophageal cancer
Bibliographic record
Abstract
The proteolysis-inducing factor is a putative mediator of cancer-associated weight loss. The goal of this study was to examine for the first time: (i) its prevalence in patients with metastatic gastric/esophageal cancer; and (ii) whether it possibly correlated with weight loss and anorexia and whether it predicted tumor response and patient survival. This study recruited 41 patients as part of a phase II therapeutic, chemotherapy protocol for patients with metastatic gastric/esophageal cancer. Patient eligibility criteria were designed to select a group of patients who would tolerate treatment with the drugs capecitabine and oxaliplatin. Urine for assaying the proteolysis-inducing factor was obtained at registration and then 6 weeks later. Patients completed the FACT-E questionnaire every 6 weeks and had their weights checked at the same interval. Patients were followed prospectively for tumor response and patient survival. Twenty-three (56%) patients had the proteolysis-inducing factor in their urine at registration, and 18 (64%) had it at 6 weeks. There was no statistically significant correlation between the presence of the proteolysis-inducing factor and weight loss or between its presence and anorexia. Moreover, there was no evidence that the presence of the proteolysis-inducing factor in urine was able to predict tumor response or patient survival. The proteolysis-inducing factor in urine does not appear to be tied to weight loss, anorexia, tumor response, or patient survival in the clinical setting of metastatic gastric/esophageal cancer.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".